1

TheTransformative Fusion of

Sensing, Computing,

Communication & Control

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Three Key Points

1. Technologies are fusing together to transform

industries, companies, employment, and education.

2. This is happening now, in your work.

Many industries, many applications, many markets.

3. MATLAB & Simulink form a technical foundation for this

fusion and transformation.

3

MIT Technology Review 14 January 2014

Tesla Model S

Road & Track 29 January 2015

techcrunch.com 19 March 2015

4

Google's solar-drone Internet

tests about to go airborneProject Titan gets FCC permission to begin testing

Computerworld 13 March 2015

Wired 23 September 2014

5

Cubesats explained and

why you should build one

DIY Space Exploration website

time.com 19 March 2015

SpaceX launch illustrates NASA’s

growing use of private companies

Pew Research Center 14 April 2014

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TU Desden - SOMP

7

Forbes 22 January 2015

An Apple car? Computer firm hires automotive engineersReports suggest Apple employees

are designing and building a car

The Guardian 13 February 2015

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Computing

Control

Communication

Computing

Control

Sensing

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Computing

Control

Communication

Computing

Control

Sensing

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Smartphones have15 or more sensors!

Powerful, low-cost sensors and cameras

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Unlimited computing power

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Range of computing choices

Microcontroller

Programmable SOC

Custom ASIC

Microprocessor

FPGA

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4G and beyond

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Orion Spacecraft

Successful first flight

(unmanned) Dec. 5, 2014

“We navigated

from launch to

landing using

GPS and inertial

sensors,

all on auto-

generated

code.”Mark Jackson,

Orion project engineer,

Draper Labs

Model-Based Design

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Transformation happens when these combine

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Cars processing video in real time

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“Traffic sign recognition in driver

assistance systems- MATLAB at Continental”Dr Alexander Behrens, Continental, MATLAB Expo,

July 2014, Munich, Germany.

“MATLAB is used in daily work for development and evaluation of driver assistance functions”

“Engineers having good MATLAB programming skills are in high demand”

Machine Learning done with

Image Processing ToolboxSignal Processing ToolboxStatistics and Machine Learning Toolbox

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The RSR 210N

multipurpose 2D

radar system.

“Model-Based Design reduced

development time by about two

engineer-years compared with

hand-coding.”

– Reutech

Multi-purpose radarbuilt with an FPGA

Model-Based Design approaches:

Separate models in Simulink

HDL Coder for FPGA implementation

Fixed-Point Designer to convert floating-point design

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“Design, Analyze, and Implement Radar Sensors' Alignment Algorithm with MATLAB” - Ling Ma, Delphi, MathWorks Automotive Conference, May 2014, Michigan, USA.

Cars controlled withvideo and radar

20

Advanced Driver Assistance Systems (ADAS)

from “Advanced Driver Assistance Systems Market”Continental AG, KSAE 2011

Adaptive

cruise

control

Forward

collision

warningAdvanced

emergency

braking

Traffic signal

recognition

Intelligent

headlamp

control

Lane

change

assist

Back-up aid

Lane departure

warning

Lane keeping

system

Blind spot

detection

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Automated Highway Systems

École Polytechnique Fédérale de Lausanne

Dynamic platooning algorithm for intelligent cars

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Transformationhappens when these combine

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“The fixed-point test platform we

built with MATLAB enabled us to

conduct rigorous tests at every stage

and automatically identify

discrepancies in the results.”

-VivaQuant

Wearables that detect cardiac arrhythmias

The arrhythmia service

uses an FDA 510k

cleared Holter recorder

to non-invasively record

a 24-hour or longer

three-lead ECG

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The AirSonea device connects to an asthma patient’s

smartphone and communicates with wheeze analysis

algorithms on iSonea’s server.

“MATLAB enables us to rapidly

develop, debug, and test

sound-processing algorithms,

and MATLAB Coder simplifies

the process of implementing

those algorithms in C.

There’s no other environment

or programming language that

we could use to produce similar

results in the same amount of

time.”

- iSonea

Mobile healthcare app with cloud-based analytics

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Thought-controlled prosthetics

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Transformationhappens when these combine

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A Technology Platform with a MATLAB® Backbone: A Financial Engineering True Story Edward Byrns, Jr., MunichRE Trading LLC, MATLAB Virtual Conference, March 2015.

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Machine Learning toReduce Customer Churn

“MATLAB made it easy to clean,

visualize, and analyze more than 500

gigabytes of data with no additional

software or add-ons.”

“MATLAB is one of the differentiators for

us on client engagements. No matter

what industry our client is in, and

no matter what data they ask us to

analyze—text, audio, images, or

video—MATLAB enables us to provide

clear results faster.”

– Cognizant

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“We built a communications

system capable of 1200 Mbps.

“With Simulink, for the first time

I can see past the noise effect

and understand how distortion

is affecting the link.

“Without those simulations it

would be impossible for me to

show management that the

system is going to work.”

– Digital Globe

Rapid and reliable

transmission of satellite data

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Fleet Analytics

Vehicle Health Monitoring

Healthcare Predictive Analytics

Financial Trading

Asset Data Analytics

Sensor Analytics

Big Data from the Internet of Things

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Smart Emergency Response System

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Communication

Computing

Control

Sensing

How will wedesign these multi-domain systems?

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Human Machine Interface

(HMI) Is Transformed

Instrument Cluster

Center Stack

Primary Flight Display

Heads-up DisplayImages provided by DiSTI Corp. Reused with permission.

Images provided by Presagis Corp. Reused with permission.

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Model-Based Design for HMI Development

Complete design modeled and tested with MATLAB, Simulink, and Stateflow

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NEW in R2015a

Antenna Toolbox

NEW releases in R2015a

Communications System Toolbox

LTE System Toolbox

Phased Array System Toolbox

Design tools for

wireless communications

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Communication

Computing

Control

Sensing

How willwe test and verify them?

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Certification standards

for safety & reliability . . .

Eurocopter France

Air Conditioning

EADS USA and France

Motor Drive Unit

Airbus UK and France

Fuel Management Systems

DO-254

DO-178

DO-178

ARP-4754

BAE USA and UK

Flight Control Systems

System design in Simulink

Simulink Verification and Validation to check compliance

Embedded Coder for C code for software verification

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Alstom France

Propulsion Control Systems

Weinmann Medical DE

Transport ventilator

GM USA

Hybrid Powertrain

MTU Germany

Nuclear Emergency Generators

EN-50128ISO 26262

IEC 61508

IEC 62304

IEC-60880

Alstom Grid UK

HDVC Power Systems

. . . appearing across industries

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Computing

Control

Communication

Computing

Control

Sensing

How willstudentsprepare for transformative fusion?

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Communication

Computing

Control

Sensing

Idea

Realization

Setup

Right ToolVersions

Right Libraries

Right Hardware Settings

Right Compilers

Coding and Fixing Mistakes

Rubik’s

Cube Solver

Autonomous

Boat

Weather

Station

Soccer-

Playing

Robot

By spending less time on HW/SW configuration …

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Communication

Computing

Control

Sensing

Idea

Realization

Setup

Tools

And more time on systems using Project-Based Learning. . .

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Student projects of sensing, computing, communication, and control - in action

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Student projects of sensing, computing, communication, and control - in action

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Demand for the T-shaped engineer...

Control

Computing CommunicationSensing

Deep knowledge

Broad knowledge

…met with Project-Based Learning.

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… in a world of distributed innovation.

“We’re moving to distributed innovation processes. The innovation going on in the rest of the world can probably overwhelm what companies can do internally.”

James Cash, Harvard Business School

WELCOME TO THE MAKER-

INDUSTRIAL REVOLUTION

How GE, Local Motors, and an army of DIY inventors are

rebuilding American manufacturing

Popular Science, 15 January

2015

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Computing

Control

Communication

Computing

Control

Sensing

50

Three Key Points

1. Technologies are fusing together to transform

industries, companies, employment, and education.

2. This is happening now, in your work.

Many industries, many applications, many markets.

3. MATLAB & Simulink form a technical foundation for this

fusion and transformation.

51

Next Steps

Attend the talks and exhibits

Talk to your colleagues – from MathWorks and other

companies and academies

Learn from each other, share best practices across

industries and applications

Use these tools and methods to transform your

application and industry!